Performance Assessment of Commercial MOX Sensors in Elevated Hydrogen and Methane Concentrations

This work evaluates the performance of lowcost, commercially available metal oxide (MOX) gas sensors for measuring high concentrations of reducing gases while focusing on hydrogen (H<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>) and methane (CH<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</inf>) of up to $100 \%$ low explosive limit (LEL). In total, 13 different sensor models from varying manufacturers were compared to select sensor models that could be utilized for reliable gas detection in such environments. After identifying suitable MOX sensors the mathematical model the mathematical model describing the dependence of sensor resistance on gas concentration was examined. Calibration curves were fitted to the data, and two modeling approaches were evaluated. The model demonstrating the best fit was subsequently chosen.

Authors

Institutions

Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/isse65583.2025.11120998
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance Assessment of Commercial MOX Sensors in Elevated Hydrogen and Methane Concentrations

Karlheinz Bock, Felix Stadermann, Krzysztof Niewęgłowski
Gas Sensing Nanomaterials and Sensors
article

Performance Assessment of Commercial MOX Sensors in Elevated Hydrogen and Methane Concentrations

Karlheinz Bock, Felix Stadermann, Krzysztof Niewęgłowski
article en

Abstract

This work evaluates the performance of lowcost, commercially available metal oxide (MOX) gas sensors for measuring high concentrations of reducing gases while focusing on hydrogen (H<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>) and methane (CH<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</inf>) of up to $100 \%$ low explosive limit (LEL). In total, 13 different sensor models from varying manufacturers were compared to select sensor models that could be utilized for reliable gas detection in such environments. After identifying suitable MOX sensors the mathematical model the mathematical model describing the dependence of sensor resistance on gas concentration was examined. Calibration curves were fitted to the data, and two modeling approaches were evaluated. The model demonstrating the best fit was subsequently chosen.

Technische Universität Dresden (DE)
Ministry of Education
Affordable and clean energy
Openalex Percentile: Top 80%
Gas Sensing Nanomaterials and Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Performance Assessment of Commercial MOX Sensors in Elevated Hydrogen and Methane Concentrations — Karlheinz Bock, Felix Stadermann, et al. · (2025) | TGRS Research Map | TGRS